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Talan

Senior Software Engineer Finance & Risk Data Solutions (Python/PySpark)

Talan, Jersey City, New Jersey, United States, 07390

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Company Description With over 7,000 experts in 20 countries, Talan is a global consulting and technology group dedicated to accelerating our clients' transformation through technology, data, and innovation. Were proud to be a Certified Great Place to Work and are on track to reach 1 billion in revenue by 2025. At Talan, our philosophy is simple yet powerful: Positive Innovationleveraging technology to benefit people and society. Job Description

We are seeking a talented

Senior Software Engineer (Python/PySpark)

to contribute to the design and development of our client's software solutions supporting Finance and Risk functions. The ideal candidate will bring strong expertise in Python, large-scale data processing, and database management, with the ability to deliver high-quality and scalable solutions. If you are a skilled engineer with a passion for finance and technology, we encourage you to apply for this exciting opportunity. Role and responsibilities Design, develop, and enhance software solutions in line with best practices (maintainable, secure, scalable, testable). Build and optimize data processing pipelines using Python, PySpark, and SQL. Support the full application lifecycle: development, testing, deployment, and production support. Analyze requirements, propose solutions, and ensure timely delivery of high-quality applications. Maintain and improve existing applications, resolving issues across environments as needed. Work with stakeholders to clarify business needs and translate them into technical solutions. Collaborate with peers across locations to deliver projects to defined standards. Contribute to documentation, QA processes, and continuous improvement initiatives. Qualifications

Bachelors or masters degree in computer science, engineering, or related field 6+ years of professional experience in software engineering Strong expertise in Python with hands-on experience using Pandas, NumPy Proficiency with PySpark for large-scale data processing Solid experience with SQL (Oracle, PostgreSQL or similar) Skilled in building and consuming APIs and working with JSON/CSV data Familiarity with modern SDLC practices, version control, and collaboration tools Strong problem-solving, communication, and documentation skills Nice-to-have: Exposure to data visualization tools (e.g., Matplotlib, Plotly) Experience with cloud platforms or ETL frameworks (Databricks, Dataiku, etc.) Knowledge of financial/risk systems or regulatory frameworks (e.g., CCAR, stress testing) Front-end familiarity (JavaScript, HTML, CSS, Angular) is a plus The salary range for this role is US$100,000 - US$145,000 Companys Benefits At Talan, we invest in our employees' well-being and empower them with benefits, including: Competitive salary 401(k) retirement plan with company matching 15 days of paid vacation per year at hire and up to 27 according to seniority (annual untaken vacation days are cashed out) 8 paid holidays + 5 sick days + 2 personal days per year ?Company health, dental, and vision insurance plans + FSA Voluntary STD and LTD Commuter/transit benefits All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr